Diabetes With or Without Hypertension Does Not Affect Graft Survival and All-cause Mortality After Liver Transplant: A Propensity Score Matching Analysis

Renaissance of Modified Charlson Comorbidity Index in Prediction of Short- and Long-Term Survival After Liver Transplantation?

Background

Orthotopic liver transplantation (OLT) is the standard of care for end-stage liver disease. The Charlson Comorbidity Index (CCI) was originally created to assess the survival rate of patients with chronic diseases, although it was modified and adopted in OLT recipients as CCI-OLT.

Material/Methods

In total of 248 consecutive liver transplant recipients with viral cirrhosis in 98 (39.5%) patients were included. CCI-OLT was calculated assigning a weight of 3 to chronic obstructive pulmonary disease; weight of 2 to coronary artery disease, connective tissue disease, and renal insufficiency; and a weight of 1 to diabetes mellitus.

Results

CCI-OLT was significantly correlated with recipient age (p<0.001; R=0.333) and was a significant risk factor for early post-transplant mortality (p=0.004). The presence of diabetes mellitus significantly increased the odds of early mortality (p=0.010). The optimal cut-off for CCI-OLT in prediction of mortality during the first 90 days after transplantation was ≥1, with an AUROC of 0.780 (95% CI: 0.670–0.891; p<0.001). Increasing CCI-OLT was a significant risk factor for worse 5-year post-transplant survival (p=0.001), along with coronary artery disease (p=0.008) and diabetes mellitus (p=0.021). The optimal cut-off for prediction of 5-year mortality for CCI-OLT was ≥1, with the AUROC of 0.638 (95% CI: 0.544–0.733; p=0.004).

Conclusions

CCI-OLT is a useful tool for measuring the effect of pretransplant comorbidities and to stratify the effect of risk on both short- and long-term outcomes after OLT. Recipient age and diabetes strongly affected short-term survival after OLT, and metabolic and vascular complications were the leading causes of death at 5 years after OLT.

In-hospital outcomes for solid organ transplants according to type 2 diabetes status: An observational, 15-year study in Spain

AIMS

To describe trends and outcomes during admission for solid organ transplant in people with or without type 2 diabetes in Spain, 2001-2015.

METHODS

We used national hospital discharge data to select all hospital admissions for kidney, lung, heart, and liver transplant. We estimated admission rates stratified by type 2 diabetes status. We built Poisson regression models to compare the adjusted time trends in admission rates. We tested in-hospital mortality (IHM) in logistic regression analyses.

RESULTS

We identified 50 964 transplants (16.7% in people with type 2 diabetes): kidney, 30 919; lung, 2810; heart, 3649; liver, 13 586. The overall adjusted incidence rate ratios (95% confidence intervals) of admission in people with type 2 diabetes vs no diabetes were 2.4 (2.32-2.48) for kidney, 1.51 (1.33-1.70) for lung, 2.87 (2.63-3.13) for heart, and 4.16 (3.99-4.33) for liver transplant. In the multivariate analysis, IHM decreased significantly over time for all types of transplant. Type 2 diabetes independently predicted lower IHM during admission only for heart (Odds ratio, OR [95% CI] = 0.62 [0.47-0.81]) and liver transplant (OR [95% CI] = 0.69 [0.58-0.82]).

CONCLUSIONS

Admission rates for solid organ transplant were higher in people with type 2 diabetes than in people without diabetes. Type 2 diabetes was associated with lower in-hospital mortality during admission for heart and liver transplant.